machine learning
KillChainGraph: Researchers test machine learning framework for mapping attacker behavior
A team of researchers from Frondeur Labs, DistributedApps.ai, and OWASP has developed a new machine learning framework designed to help defenders anticipate attacker behavior …
New framework aims to outsmart malware evasion tricks
Attackers have learned how to trick machine learning malware detectors with small but clever code changes, and researchers say they may finally have an answer. In a new paper, …
Review: Adversarial AI Attacks, Mitigations, and Defense Strategies
Adversarial AI Attacks, Mitigations, and Defense Strategies shows how AI systems can be attacked and how defenders can prepare. It’s essentially a walkthrough of …
The 6 challenges your business will face in implementing MLSecOps
Organizations that don’t adapt their security programs as they implement AI run the risk of being exposed to a variety of threats, both old and emerging ones. MLSecOps …
Machine unlearning gets a practical privacy upgrade
Machine learning models are everywhere now, from chatbots to credit scoring tools, and they carry traces of the data they were trained on. When someone asks to have their …
Behind the code: How developers work in 2025
How are developers working in 2025? Docker surveyed over 4,500 people to find out, and the answers are a mix of progress and ongoing pain points. AI is gaining ground but …
How agentic AI and non-human identities are transforming cybersecurity
Within the average enterprise, non-human identities (NHIs) now outnumber employees, contractors, and customers by anything between 10-to-1 and 92-to-1. Add to this the …
Generative AI is reshaping financial fraud. Can security keep up?
In this Help Net Security interview, Yinglian Xie, CEO at DataVisor, explains how evolving fraud tactics require adaptive, AI-driven prevention strategies. With fraudsters …
A CISO’s guide to securing AI models
In AI applications, machine learning (ML) models are the core decision-making engines that drive predictions, recommendations, and autonomous actions. Unlike traditional IT …
Malicious ML models found on Hugging Face Hub
Researchers have spotted two machine learning (ML) models containing malicious code on Hugging Face Hub, the popular online repository for datasets and pre-trained models. …
How AI and ML are transforming digital banking security
In this Help Net Security interview, Nuno Martins da Silveira Teodoro, VP of Group Cybersecurity at Solaris, discusses the latest advancements in digital banking security. He …
Why an “all gas, no brakes” approach for AI use won’t work
Machine learning and generative AI are changing the way knowledge workers do their jobs. Every company is eager to be “an AI company,” but AI can often seem like a black box, …
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- New framework aims to outsmart malware evasion tricks